Detection of Hepatocellular Carcinoma in a High-Risk Population by a Mass Spectrometry-Based Test.

ABSTRACT: Hepatocellular carcinoma (HCC) is one of the fastest growing causes of cancer-related death. Guidelines recommend obtaining a screening ultrasound with or without alpha-fetoprotein (AFP) every 6 months in at-risk adults. AFP as a screening biomarker is plagued by low sensitivity/specificity, prompting interest in discovering alternatives. Mass spectrometry-based techniques are promising in their ability to identify potential biomarkers. This study aimed to use machine learning utilizing spectral data and AFP to create a model for early detection. Serum samples were collected from three separate cohorts, and data were compiled to make Development, Internal Validation, and Independent Validation sets. AFP levels were measured, and Deep MALDI® analysis was used to generate mass spectra. Spect

SUBMITTER: Mahalingam D 

PROVIDER: S-EPMC8268628 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature